<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>LiDAR-derived digital elevation models (DEMs) have transformed the archaeological study of landscape features, broadened our technical capabilities, and enhanced the accuracy with which terrain relief is described. These models also place demands on how researchers and analysts interpret DEM content in the context of the modern landscape. LiDAR-based DEMs contain modern man-made structures that can significantly influence model properties. Although data are usually filtered and some of these artificial features are removed during bare-earth classification, many terrain interventions remain visible. This large-scale case study applies established methods to a freely available DEM of the Czech Republic in an attempt to evaluate differences between original and filtered DEMs. It applies a fully automated filtering procedure using vector topographic maps to avoid manual corrections that would make the procedure problematic when used on a macro scale. The results of our archaeological GIS analysis demonstrate that this procedure, despite its relative simplicity, can achieve a significantly better representation of a landscape compared to that offered by an unfiltered DEM. Finally, we propose a series of future steps with a view to developing a more comprehensive and accurate model and overcoming its limitations.</p>
</abstract>

LiDAR-derived digital elevation models (DEMs) have transformed the archaeological study of landscape features, broadened our technical capabilities, and enhanced the accuracy with which terrain relief is described. These models also place demands on how researchers and analysts interpret DEM content in the context of the modern landscape. LiDAR-based DEMs contain modern man-made structures that can significantly influence model properties. Although data are usually filtered and some of these artificial features are removed during bare-earth classification, many terrain interventions remain visible. This large-scale case study applies established methods to a freely available DEM of the Czech Republic in an attempt to evaluate differences between original and filtered DEMs. It applies a fully automated filtering procedure using vector topographic maps to avoid manual corrections that would make the procedure problematic when used on a macro scale. The results of our archaeological GIS analysis demonstrate that this procedure, despite its relative simplicity, can achieve a significantly better representation of a landscape compared to that offered by an unfiltered DEM. Finally, we propose a series of future steps with a view to developing a more comprehensive and accurate model and overcoming its limitations.

The Potential and Implications of Automated Pre-Processing of LiDAR-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis

Dept. of Theoretical Geodesy and Geoinformatics, Faculty of Civil Engineering

Slovak University of Technology in Bratislava

Slovak Journal of Civil Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

LiDAR-derived digital elevation models (DEMs) have transformed the archaeological study of landscape features, broadened our technical capabilities, and...

The Potential and Implications of Automated Pre-Processing of LiDAR-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis

Online veröffentlicht: 07. Jan. 2023

Seitenbereich: 1 - 10

DOI: https://doi.org/10.2478/sjce-2022-0022

Schlüsselwörter
Landscapearchaeology, DEM filtering, GIS analysis, Visibility, Land surface curvature, Drainage networks Czech Republic

© 2022 David Novák et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Potential and Implications of Automated Pre-Processing of LiDAR-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis

Online veröffentlicht: 07. Jan. 2023

Seitenbereich: 1 - 10

DOI: https://doi.org/10.2478/sjce-2022-0022

SchlüsselwörterLandscapearchaeology, DEM filtering, GIS analysis, Visibility, Land surface curvature, Drainage networks Czech Republic

© 2022 David Novák et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Landscapearchaeology, DEM filtering, GIS analysis, Visibility, Land surface curvature, Drainage networks Czech Republic